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://www.thomashermans.com/wp/ ) is a young research group working at the interface of supramolecular chemistry and fluidics. We design chemical reaction networks that are used to control hydrogel materials, and we have
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | 1 day ago
coding, skills in statistical data analysis (especially social network analyses), and programming (e.g., in R). More important than specific prior experience is enthusiasm for learning and the demonstrable
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models ranging from baseline approaches to graph neural networks. You will also oversee the open release of project datasets, models, code and documentation. The successful candidate will join Oxford's
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Opportunities to develop and test your own speculative, participatory, and performative research formats Support for international networking, publications, and conference participation Professional development
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Access to a well-equipped FabLab as well as project funding for prototype development Support for international networking, publications, and conference participation Professional development and training
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for SW defined mobile networks (such as OAI) and O-RAN is a plus International experience is a plus LanguagesENGLISHLevelExcellent Additional Information Benefits 30+ days of paid holidays Flexible working
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and Psychology’ led by István Zoltán Kiss and Andreia Sofia Teixeira at the Network Science Institute, Northeastern University London. Human behaviour during epidemics reflects our nature as socially
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You will join PREFERENCE, an international Marie Skłodowska-Curie doctoral network dedicated to advancing large axial field of view (LAFOV) PET/CT imaging. PREFERENCE brings together 12 academic
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You will join PREFERENCE, an international Marie Skłodowska-Curie doctoral network dedicated to advancing large axial field of view (LAFOV) PET/CT imaging. PREFERENCE brings together 12 academic
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further appears in the approximation of various dynamical problems by tensor networks and neural networks. In all these cases, the parametrization is typically irregular, meaning that the occurring linear